Prof. Haoran XIE
Professor & Person-in-Charge (Head), Division of Artificial Intelligence
Lingnan University, Hong Kong, China
Biography: Prof. Haoran Xie is the Professor and the Person-in-Charge (Head) of Division of Artificial Intelligence, the Associate Dean of School of Data Science, and the Director of LEO Dr. David P. Chan Institute of Data Science at Lingnan University, Hong Kong. He has published over 475 research papers, including 287 journal articles. He also serves as Editor-in-Chief of Computers & Education: Artificial Intelligence, Computers & Education: X Reality, Natural Language Processing Journal, and Artificial Intelligence in Language Education. His research interests include natural language processing, large language models, and AI in education. According to Google Scholar, he has over 28,959 citations, an h-index of 66, and an i10-index of 239. Since 2021, he has been recognized among the World’s Top 2% Scientists by Stanford University.
Speech Title: AI for Language Education: From Personalized Learning to Reasoning with Large Language Models
Abstract: This study presents recent advances in applying artificial intelligence to language education. It highlights four applications: personalized vocabulary learning using learner models and task recommendations, Chinese character recognition with GAN-based data augmentation, enhanced Chinese word embeddings integrating semantic and phonetic features, and implicit sentiment analysis using multi-step reasoning and verification with large language models. The research also connects these developments to learning theories and discusses emerging practices in prompt design, retrieval augmented generation, and efficient model tuning to support intelligent, explainable, and effective educational tools.
Dr. Jayfus Tucker Doswell
President/CEO, Juxtopia, LLC
Chairperson, The Juxtopia Group, Inc.
Director, Artificial Intelligence for Intelligent Augmentation (AiiA) Think-Tank
Biography: Dr. Doswell was born and raised in Baltimore, Maryland. Dr. Doswell earned a Bachelor of Arts (BA) from Oberlin College with double degrees in Cognitive Neuro-Psychology and Computer Science; a Master’s degree in Systems and Computer Science from Howard University; and a Ph.D. degree in Information Technology from George Mason University defending an applied computer science dissertation; creating the world’s first culturally competent, empathetic, and ethical (CCEE) artificial intelligence (AI) educator product line software architecture to deliver personalize AI e-training and e-evaluation through mixed-reality (e.g., augmented reality, virtual reality, holographic, and real-world) environments to improve measurable skill competency from nursing, surgical and public health to commercial space, construction, tactical combat casualty care (TCCC), and manufacturing training and assistance.
Dr. Doswell is the founder, president, and chief executive officer (CEO) of Juxtopia, LLC; a privately held for-profit biomedical and information technology company with a mission for improving human performance®. Dr. Doswell led Juxtopia to secure federal and state grant & contract awards to develop and commercialize AI enabled wearable mixed reality and body-worn sensors for eradicating public health disparities and improving the lethality of the warfighter.
Dr. Doswell also co-founded the American Public Health Association (APHA) Health Informatics and Information Technology (HIIT) Section and, recently, was selected as the APHA-HIIT AI Ambassador program to interface AI in every facet of public health in the U.S. and Internationally. Dr. Doswell also co-created the first Black commercial space craft company in the United States to deliver autonomous robots to service satellites; and competed a 100% minority team in the Google Lunar X PRIZE (2008-2012) that demonstrated underserved and disadvantaged minority student skill competency where students engineered an autonomous lunar robot to travel 500 meters across the Moon’s surface.
To advance AI for augmenting human performance, Dr. Doswell co-founded the artificial intelligence for intelligent augmentation (AiiA) think tank under non-profit organization, The Juxtopia Group, Inc. To advance AI education, worldwide, Dr. Doswell launched the International Intelligent X Instructor (iiXi) program and associated iiXi conference; with its inaugural 2007 conference held at Georgetown University and attracting attendees including, but not limited to, CIA, DARPA, Harvard, and Northwestern University, and other colleges/universities, internationally.
Dr. Doswell finds balance in his high-tech AI world by playing and composing music for violin and piano and practicing Martial Arts (e.g., Tae-Kwon-Do and Wushu).
Speech Title: Engineering Intelligent X Instructor (iXi) Kaizen: A Culturally Competent, Empathetic, and Ethical Artificial Superintelligent Educator Missioned to Personalize Humanaogy for Improving Human Performance and Intelligence in Mixed-Reality Environments
Prof. Anna Kruspe
Munich University of Applied Sciences, Germany
Biography: Prof. Anna Kruspe received her diploma and Ph.D. degrees in media technology from Technische Universität Ilemnau, Germany, in 2011 and 2017, respectively. She is a machine-learning researcher at the German Aerospace Center. Previously, she was a member of the Fraunhofer Institute for Digital Media Technology, Ilmenau, Germany, where her work focused on the application of speech recognition technologies to singing (e.g., for language identification, keyword spotting, or lyrics-based search), as well as the analysis of world music. She conducted research at Johns Hopkins University in Baltimore, Maryland, and at the National Institute of Advanced Industrial Science and Technology in Tsukuba, Japan. Her current work deals with the development of machine-learning technologies for the analysis of social media data in the context of disaster management.
Speech Title: Students Already Learn with AI. Now We Need to Teach with It
Abstract: AI chatbots have quietly moved into students’ daily study routines, yet educators still only glimpse how they are used and what role they play in learning. Early indications from teaching experience, student feedback and small scale pilot projects suggest that this development is broader, more varied and more culturally shaped than we tend to assume.
This keynote brings together what we are starting to learn about student AI use and reflects on how higher education might respond. It looks beyond the familiar questions of policing and academic integrity and asks what it would mean to fully integrate conversational AI into courses. If students will increasingly learn through dialogue with AI, then the learning experience, the role of educators and the design of materials will need to adapt.
A possible future is one where learning becomes personalised, interactive and accessible across languages and communication styles. It is also a future that raises fairness and bias concerns. If AI becomes a primary entry point to knowledge, we must ensure it serves diverse student needs rather than amplifying existing inequalities.
The talk outlines ideas for course aligned AI assistance that supports learning rather than shortcuts it. It sketches a path toward a more conversational model of university teaching and invites the audience to consider what kind of AI supported learning environment we should build before it arrives by default.